Hello. We are trying to optimise parameters for functions that look something like: function cost_func(time::Vector{Float64}, params::Vector{Float64}) cₐ, a, cᵦ, β = params return (some complicated combination of time and parameters) end The number of parameters varies for different model…

I’m not sure I understand correctly what the specific setting is for you but I’ll try. You can do the following: # I'm using a buffer array here so I don't have to allocate a new # array when going from length 3 to 4. function wrapper(optim_array, buffer_array, index, value) found = 0 for …

Closures? But it seems you already know about them, so I am not sure what the question is.

If I understand the questions correctly, the usual way to do something like this with closures is f(a, b, c) = a + b + c optimize((b, c) -> f(5, b, c)) or similar. This way you only have to provide two parameters and a is set as 5.

Hello @Tamas_Papp and @Karajan , thanks both for your responses. Yes I agree that would be a nice way to do it, but how is it possible when the arguments takes the form of a vector of floats? Is there a zero-overhead way to add some abstraction on top of that? And also, it needs to be done in a gen…

[image] anon32405968: how is it possible when the arguments takes the form of a vector of floats? Is there a zero-overhead way to add some abstraction on top of that? There are various simple ways to do this using higher-order functions, but please keep in mind that asking for a fully optimiz…

@Karajan many thanks for your suggested solution. Although I didn’t end up using it, the idea of a wrapper function was exactly what I needed so I am very grateful. In case it is of use to anyone at all I present a minimum working example of the way I eventually designed the software. Note that in b…

Optimisation design advice - metaprogramming/closures

General Usage

Tamas_Papp February 28, 2020, 10:47am 6

There are various simple ways to do this using higher-order functions, but please keep in mind that asking for a fully optimized, zero-overhead, and convenient solution without providing an MWE is somewhat unrealistic.

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Optimisation design advice - metaprogramming/closures

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